PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 19, 20260 citationsOpen Access

A Discrete Topological Resolution to Toeplitz's Conjecture for Non‑Differentiable Planar Curves

View Full Paper
MEMark Edwards

Key Points

  • This work aims to resolve Toeplitz's Inscribed Square Conjecture for non-differentiable planar curves using discrete methods. It explores the implications of geometric tortuosity on ensuring the existence of an inscribed square.
  • Developed a discrete spatial constraint model based on higher-dimensional phase-space mappings.
  • Demonstrated the effects of geometric tortuosity related to the need for discrete orthogonal symmetries.
  • Utilized AI-assisted tools for mathematical execution and algorithmic structuring.
  • Proved that extreme geometric tortuosity necessitates a coordinate phase-lock, leading to the existence of an inscribed square.
  • Formulated a non-calculus pathway for resolving the conjecture for fractal boundaries.
  • Established that inscribed squares are not coincidental but are a requirement for manifold stabilization.

Abstract

Toeplitz's Inscribed Square Conjecture (1911) postulates that every simple closed curve in the Euclidean plane contains the vertices of a square. While analytically proven for sufficiently smooth curves, non-differentiable (rough) planar curves present localized variations that render continuous calculus and standard tangent spaces ineffective. This paper bypasses traditional continuous methods by applying a discrete spatial constraint model. Extending Herbert Vaughan's 1977 higher-dimensional phase-space mappings, we explore how bounded topological limits necessitate discrete orthogonal symmetries. We demonstrate that extreme geometric tortuosity enforces a coordinate phase-lock, proving the existence of the inscribed square not as a geometric coincidence, but as a bounding tensor matrix required to stabilize the manifold. This provides a formalized, non-calculus pathway to resolving the conjecture for fractal boundaries. AI‑Assisted Development. The mathematical formulation, computational implementation, and algorithmic structure presented in this work were developed through an interactive workflow in which the author provided the conceptual framework, theoretical direction, and problem‑solving strategy, while AI‑based tools assisted with mathematical execution, code generation, and computational refinement. The AI did not originate the scientific ideas or conclusions; it operated as a technical assistant under the author’s guidance. All results, interpretations, and claims were reviewed and validated by the author.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Mark Edwards (2026) studied this question.

synapsesocial.com/papers/6a34df4a65a5b0777af2e740https://doi.org/10.5281/zenodo.20725011
Ask AI
Helpful
Bookmark
Share
View Full Paper